Tag: Danilo Poccia

With AWS Resource Explorer, you can search for and discover your resources, such as Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Kinesis data streams, and Amazon DynamoDB tables, across AWS Regions. Starting today, you can also search across accounts within your organization. It takes just a few minutes to turn on and configure Resource Explorer for an entire organization or a specific organizational unit (OU) and use simple free-form text and filtered searches to find relevant AWS resources across accounts and Regions. Multi-account search is available in the Resource Explorer console, anywhere in the AWS Management Console through the unified search bar (the search bar at the top of every AWS console page), using the AWS Command Line Interface…

This week, it was really difficult to choose what to recap here because, as we’re getting closer to AWS re:Invent, service teams are delivering new capabilities at an incredible pace. Last week’s launches Here are some of the launches that caught my attention last week: Amazon Aurora – Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available. Get a walk-through in our AWS News Blog post. Here’s a recap of data integration innovations at AWS. Optimized reads for Aurora PostgreSQL provide up to 8x improved query latency and up to 30 percent cost savings for I/O-intensive applications. Here’s more of a deep dive from the AWS Database Blog. Amazon EBS – You can now block public sharing of EBS…

With Amazon SQS, you can send and receive messages between software components at any scale. It was one of the first AWS services I used and as a Solutions Architect, I helped many customers take advantage of asynchronous communications using message queues. In fact, Amazon SQS has been generally available since July 2006 and, under the hood, has always used the same wire protocol based on XML that we call AWS Query protocol. Today, I am happy to announce that Amazon SQS now supports a JSON-based wire protocol for all APIs. The AWS JSON protocol avoids many of the shortcomings of AWS Query protocol. AWS JSON is more efficient than the previous XML-based protocol and can reduce both latency and…

With Amazon Comprehend, you can extract insights from text without being a machine learning expert. Using its built-in models, Comprehend can analyze the syntax of your input documents and find entities, events, key phrases, personally identifiable information (PII), and the overall sentiment or sentiments associated with specific entities (such as brands or products). Today, we are adding the capability to detect toxic content. This new capability helps you build safer environments for your end users. For example, you can use toxicity detection to improve the safety of applications open to external contributions such as comments. When using generative AI, toxicity detection can be used to check the input prompts and the output responses from large language models (LLMs). You can…